Discover the most likely reason behind an unusually high 93% variation explanation in the first story insight of a Tableau CRM story. Learn how data leakage caused by the outcome variable can lead to this issue and how to resolve it.
Table of Contents
Question
After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?
A. The dataset contains too many rows.
B. The dataset contains multiple dominant values.
C. The outcome variable is causing data leakage.
D. The dataset used in the story suffers from too many outlier values.
Answer
The most likely reason for an unusually high 93% variation explanation in the first story insight of a newly created Tableau CRM story is that the outcome variable is causing data leakage (Option C).
Explanation
Data leakage occurs when information from outside the training data is inadvertently included in the model, leading to overly optimistic performance estimates. In this case, the outcome variable itself may be leaking information, causing the model to appear more accurate than it actually is.
This can happen if the outcome variable is highly correlated with one or more predictor variables, essentially providing the model with the answers it’s trying to predict. As a result, the model performs exceptionally well on the training data but fails to generalize to new, unseen data.
To resolve this issue, carefully review the predictor variables and their relationship with the outcome variable. Look for any variables that may be derived from or directly related to the outcome. Remove or transform these variables to eliminate the data leakage.
Additionally, consider splitting your data into training and validation sets to assess the model’s performance on unseen data. This will help you identify if the model is truly capturing meaningful patterns or simply memorizing the training data due to data leakage.
By addressing the data leakage caused by the outcome variable, you can create a more reliable and accurate model in your Tableau CRM story.
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